Easter Seals Jobs

Manager - Business Product Owner - Digital & Analytics (Distribution – Transportation) - 2406216663W

Description

Johnson & Johnson is currently seeking a Manager - Business Product Owner - Digital & Analytics (Distribution – Transportation) to join our IM Deliver team located globally.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com/.

For more than 130 years, diversity, equity & inclusion (DEI) has been a part of our cultural fabric at Johnson & Johnson and woven into how we do business every day. Rooted in Our Credo, the values of DEI fuel our pursuit to create a healthier, more equitable world. Our diverse workforce and culture of belonging accelerate innovation to solve the world’s most pressing healthcare challenges.

We know that the success of our business – and our ability to deliver meaningful solutions – depends on how well we understand and meet the diverse needs of the communities we serve. Which is why we foster a culture of inclusion and belonging where all perspectives, abilities and experiences are valued, and our people can reach their potential.

At Johnson & Johnson, we all belong.

This role will focus on enhancing our distribution and transportation operations within IM (Innovative Medicines) Global Deliver through advanced modeling and simulation techniques. The ideal candidate will leverage their expertise in data science to drive improvements in key performance indicators (KPIs) such as perfect order, dock-to-stock, and other SCOR metrics, while also addressing specialized topics including network design, quality assurance, risk management, new product introduction, and temperature control.

• Key Responsibilities

o KPI Development & Monitoring:

o Define, track, and report on critical KPIs related to supply chain efficiency and effectiveness.

o Collaborate with cross-functional teams to ensure alignment on performance metrics.

o Develop insights to support root-cause-analysis and action planning.

o Foster a data-driven culture in operations.

o Data Analysis & Modeling:

o Develop and implement predictive models to optimize distribution networks and transportation logistics.

o Conduct simulations to assess cost, capacity, and network efficiencies.

o Analyze historical data to identify trends and patterns that inform strategic decision-making.

o New Product Introduction:

o Support the introduction of new products by analyzing market trends and forecasting demand.

o Collaborate with product development teams to ensure logistical feasibility.

o Temperature Control Solutions:

o Design models for monitoring temperature-sensitive products throughout the supply chain.

o Work with IT and engineering teams to implement real-time tracking systems.

Qualifications

o Education:

o Master’s or Ph.D. in Data Science, Statistics, Computer Science, Engineering, or a related field.

o Experience:

o Minimum of 8 years of experience in data science or analytics roles, preferably within the pharmaceutical or logistics sectors.

o Proven track record of developing models that drive operational improvements.

o Technical Skills:

o Proficiency in programming languages such as Python or R for data analysis and modeling.

o Strong experience with SQL for data manipulation and extraction.

o Familiarity with statistical analysis tools and methodologies (e.g., regression analysis, A/B testing).

o Soft Skills:

o Excellent communication skills with the ability to present complex data insights to non-technical stakeholders.

o Strong problem-solving skills and the ability to work independently as well as collaboratively across teams.

• Preferred Qualifications

o Experience with supply chain optimization tools and techniques.

o Knowledge of pharmaceutical regulations related to distribution and transportation.

o Familiarity with machine learning algorithms and their application in logistics.

Primary Location Europe/Middle East/Africa-Belgium-Antwerp-Beerse

Other Locations NA-US-Kentucky-Shepherdsville, Asia Pacific-China-Guangdong-Guangzhou (Canton), Latin America-Colombia-Distrito Capital de Bogotá-Bogotá, NA-US-New Jersey-Titusville, Asia Pacific-Japan-Tokyo, Latin America-Brazil-São Paulo

Organization Janssen Pharmaceutica N.V. (7555)

Job Function Data Science

Req ID: 2406216663W